Gesture Detection Ready Model 


About the Gesture Detection Ready Model

The Gesture Detection model is created to make smart home or lifestyle products easier to use. Want to add time to your microwave? Just swipe up. Want to turn on your coffee machine? Just push!

This radar-based Ready Model lets your product recognize five hand gestures, and the possibilities for how to use them in your consumer product are nearly limitless.

- Detects more than 92% of gestures within 10-70 cm from a device
- Robust against many variations, such as a user sitting or standing, or different user heights

Ready to test the Gesture Detection Ready Model?


Follow these simple instructions to evaluate the Gesture Detection Ready Model:

  • Click the 'Test the model' button below to get access to:
    • the Ready Model hex file
    • information on how the model was tested
  • Order an evaluation kit
  • Connect your board to a PC
  • Download the flashing tool
  • Start the flashing tool, locate the hex file, and program the board with the click of a button
  • Connect to board through serial terminal and set the baud rate to 115200
  • Now the model is running - start testing! 

Want to test on your own hardware? Contact us and we will send you the files and instructions you need.


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Check out more of our Ready Models

Coughing

The Coughing model is designed for use in healthcare products or wearables. It detects coughing, which can indicate illness or other respiratory conditions, and can be used to identify potential environmental hazards.

- Captures at least 84-94% of coughs
- Robust against the most common indoor and outdoor background sounds
- Measures coughs per hour to identify 'sick' versus 'healthy' user


Snoring

This model is ideal for companies with healthcare or wearable products that want to identify snoring. This important feature can be used to identify health or environmental issues. 

- Captures more than 89-96% of snores
- Robust against the most common background sounds, particularly indoor
- Flexibly designed to be used in wearables or in devices that are placed near the bed

Sirens

This model uses audio event detection to identify emergency vehicle sirens. This can be used to alert pedestrians to emergency vehicles in their vicinity, or to trigger other safety features in wearables. 

- Captures over 80-95% of siren sounds 
- Robust against common traffic background sounds in different environments
- Able to detect siren sounds from all directions